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https://github.com/LostRuins/koboldcpp.git
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move function call determination to separate method
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Concedo
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1 changed files with 120 additions and 112 deletions
232
koboldcpp.py
232
koboldcpp.py
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@ -2242,12 +2242,111 @@ def extract_all_names_from_tool_array(tools_array):
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pass
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return toolnames
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#returns the found JSON of the correct tool to use, or None if no tool is suitable
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def determine_tool_json_to_use(genparams, curr_ctx, assistant_message_start, is_followup_tool):
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# tools handling: Check if user is passing a openai tools array, if so add to end of prompt before assistant prompt unless tool_choice has been set to None
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tools_array = genparams.get('tools', [])
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chosen_tool = genparams.get('tool_choice', "auto")
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# first handle auto mode, determine whether a tool is needed
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used_tool_json = None
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if tools_array and len(tools_array) > 0 and chosen_tool is not None and chosen_tool!="none":
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tools_string = json.dumps(tools_array, indent=0)
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should_use_tools = True
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if chosen_tool=="auto":
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# if you want a different template, you can set 'custom_tools_prompt' in the chat completions adapter as follows
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custom_tools_prompt = "Can the user query be answered by a listed tool above? (One word response: yes or no):"
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if is_followup_tool:
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custom_tools_prompt = "Can the user query be further answered by another listed tool above? (If response is already complete, reply NO) (One word response: yes or no):"
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# note: message string already contains the instruct start tag!
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pollgrammar = r'root ::= "yes" | "no" | "Yes" | "No" | "YES" | "NO"'
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temp_poll = {
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"prompt": f"{curr_ctx}\n\nTool List:\n{tools_string}\n\n{custom_tools_prompt}{assistant_message_start}",
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"max_length":5,
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"temperature":0.1,
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"top_k":1,
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"rep_pen":1,
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"ban_eos_token":False,
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"grammar":pollgrammar
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}
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temp_poll_result = generate(genparams=temp_poll)
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if temp_poll_result and "yes" not in temp_poll_result['text'].lower():
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should_use_tools = False
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if not args.quiet:
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print(f"\nRelevant tool is listed: {temp_poll_result['text']} ({should_use_tools})")
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if should_use_tools:
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#first, try and extract a specific tool if selected
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used_tool_json = extract_tool_info_from_tool_array(chosen_tool, tools_array)
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if used_tool_json: #already found the tool we want, remove all others
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pass
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elif len(tools_array)==1:
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used_tool_json = tools_array[0]
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else: # we have to find the tool we want the old fashioned way
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toolnames = extract_all_names_from_tool_array(tools_array)
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if len(toolnames) == 1:
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used_tool_json = extract_tool_info_from_tool_array(toolnames[0], tools_array)
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else:
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pollgrammar = ""
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for name in toolnames:
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pollgrammar += ("" if pollgrammar=="" else " | ")
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pollgrammar += "\"" + name + "\""
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pollgrammar = r'root ::= ' + pollgrammar
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decide_tool_prompt = "Which of the listed tools should be used next? Pick exactly one. (Reply directly with the selected tool's name):"
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temp_poll = {
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"prompt": f"{curr_ctx}\n\nTool List:\n{tools_string}\n\n{decide_tool_prompt}{assistant_message_start}",
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"max_length":16,
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"temperature":0.1,
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"top_k":1,
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"rep_pen":1,
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"ban_eos_token":False,
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"grammar":pollgrammar
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}
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temp_poll_result = generate(genparams=temp_poll)
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if temp_poll_result:
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raw = temp_poll_result['text'].lower()
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for name in toolnames:
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if name.lower() in raw:
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used_tool_json = extract_tool_info_from_tool_array(name, tools_array)
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if not args.quiet:
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print(f"\nAttempting to use tool: {name}")
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break
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return used_tool_json
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def transform_genparams(genparams, api_format):
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global chatcompl_adapter, maxctx
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if api_format < 0: #not text gen, do nothing
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return
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jsongrammar = r"""
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root ::= arr
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value ::= object | array | string | number | ("true" | "false" | "null") ws
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arr ::=
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"[\n" ws (
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value
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(",\n" ws value)*
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)? "]"
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object ::=
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"{" ws (
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string ":" ws value
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("," ws string ":" ws value)*
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)? "}" ws
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array ::=
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"[" ws (
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value
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("," ws value)*
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)? "]" ws
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string ::=
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"\"" (
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[^"\\\x7F\x00-\x1F] |
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"\\" (["\\bfnrt] | "u" [0-9a-fA-F]{4})
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)* "\"" ws
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number ::= ("-"? ([0-9] | [1-9] [0-9]{0,15})) ("." [0-9]+)? ([eE] [-+]? [1-9] [0-9]{0,15})? ws
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ws ::= | " " | "\n" [ \t]{0,20}
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"""
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#api format 1=basic,2=kai,3=oai,4=oai-chat,5=interrogate,6=ollama,7=ollamachat
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#alias all nonstandard alternative names for rep pen.
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rp1 = float(genparams.get('repeat_penalty', 1.0))
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@ -2297,32 +2396,6 @@ def transform_genparams(genparams, api_format):
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tools_message_end = adapter_obj.get("tools_end", "")
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images_added = []
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audio_added = []
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jsongrammar = r"""
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root ::= arr
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value ::= object | array | string | number | ("true" | "false" | "null") ws
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arr ::=
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"[\n" ws (
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value
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(",\n" ws value)*
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)? "]"
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object ::=
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"{" ws (
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string ":" ws value
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("," ws string ":" ws value)*
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)? "}" ws
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array ::=
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"[" ws (
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value
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("," ws value)*
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)? "]" ws
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string ::=
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"\"" (
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[^"\\\x7F\x00-\x1F] |
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"\\" (["\\bfnrt] | "u" [0-9a-fA-F]{4})
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)* "\"" ws
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number ::= ("-"? ([0-9] | [1-9] [0-9]{0,15})) ("." [0-9]+)? ([eE] [-+]? [1-9] [0-9]{0,15})? ws
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ws ::= | " " | "\n" [ \t]{0,20}
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"""
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# handle structured outputs
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respformat = genparams.get('response_format', None)
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@ -2398,93 +2471,28 @@ ws ::= | " " | "\n" [ \t]{0,20}
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messages_string += f"\n(Attached Audio {attachedaudid})\n"
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# If last message, add any tools calls after message content and before message end token if any
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if (message['role'] == "user" or message['role'] == "tool") and message_index == len(messages_array):
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# tools handling: Check if user is passing a openai tools array, if so add to end of prompt before assistant prompt unless tool_choice has been set to None
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tools_array = genparams.get('tools', [])
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chosen_tool = genparams.get('tool_choice', "auto")
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# first handle auto mode, determine whether a tool is needed
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if tools_array and len(tools_array) > 0 and chosen_tool is not None and chosen_tool!="none":
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tools_string = json.dumps(tools_array, indent=0)
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should_use_tools = True
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user_end = assistant_message_start
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if chosen_tool=="auto":
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# if you want a different template, you can set 'custom_tools_prompt' in the chat completions adapter as follows
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custom_tools_prompt = adapter_obj.get("custom_tools_prompt", "Can the user query be answered by a listed tool above? (One word response: yes or no):")
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if message['role'] == "tool":
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custom_tools_prompt = adapter_obj.get("custom_tools_prompt", "Can the user query be further answered by another listed tool above? (If response is already complete, reply NO) (One word response: yes or no):")
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# note: message string already contains the instruct start tag!
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pollgrammar = r'root ::= "yes" | "no" | "Yes" | "No" | "YES" | "NO"'
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temp_poll = {
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"prompt": f"{messages_string}\n\nTool List:\n{tools_string}\n\n{custom_tools_prompt}{user_end}",
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"max_length":5,
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"temperature":0.1,
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"top_k":1,
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"rep_pen":1,
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"ban_eos_token":False,
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"grammar":pollgrammar
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}
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temp_poll_result = generate(genparams=temp_poll)
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if temp_poll_result and "yes" not in temp_poll_result['text'].lower():
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should_use_tools = False
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if not args.quiet:
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print(f"\nRelevant tool is listed: {temp_poll_result['text']} ({should_use_tools})")
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used_tool_json = determine_tool_json_to_use(genparams, messages_string, assistant_message_start, (message['role'] == "tool"))
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if should_use_tools:
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#first, try and extract a specific tool if selected
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used_tool_json = extract_tool_info_from_tool_array(chosen_tool, tools_array)
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if used_tool_json: #already found the tool we want, remove all others
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pass
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elif len(tools_array)==1:
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used_tool_json = tools_array[0]
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else: # we have to find the tool we want the old fashioned way
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toolnames = extract_all_names_from_tool_array(tools_array)
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if len(toolnames) == 1:
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used_tool_json = extract_tool_info_from_tool_array(toolnames[0], tools_array)
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else:
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pollgrammar = ""
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for name in toolnames:
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pollgrammar += ("" if pollgrammar=="" else " | ")
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pollgrammar += "\"" + name + "\""
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pollgrammar = r'root ::= ' + pollgrammar
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decide_tool_prompt = "Which of the listed tools should be used next? Pick exactly one. (Reply directly with the selected tool's name):"
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temp_poll = {
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"prompt": f"{messages_string}\n\nTool List:\n{tools_string}\n\n{decide_tool_prompt}{user_end}",
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"max_length":16,
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"temperature":0.1,
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"top_k":1,
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"rep_pen":1,
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"ban_eos_token":False,
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"grammar":pollgrammar
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}
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temp_poll_result = generate(genparams=temp_poll)
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if temp_poll_result:
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raw = temp_poll_result['text'].lower()
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for name in toolnames:
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if name.lower() in raw:
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used_tool_json = extract_tool_info_from_tool_array(name, tools_array)
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if not args.quiet:
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print(f"\nAttempting to use tool: {name}")
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break
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if used_tool_json:
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toolparamjson = None
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toolname = None
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# Set temperature lower automatically if function calling, cannot exceed 0.5
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genparams["temperature"] = (1.0 if genparams.get("temperature", 0.5) > 1.0 else genparams.get("temperature", 0.5))
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genparams["using_openai_tools"] = True
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# Set grammar to llamacpp example grammar to force json response (see https://github.com/ggerganov/llama.cpp/blob/master/grammars/json_arr.gbnf)
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genparams["grammar"] = jsongrammar
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try:
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toolname = used_tool_json.get('function').get('name')
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toolparamjson = used_tool_json.get('function').get('parameters')
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bettergrammarjson = {"type":"array","items":{"type":"object","properties":{"id":{"type":"string","enum":["call_001"]},"type":{"type":"string","enum":["function"]},"function":{"type":"object","properties":{"name":{"type":"string"},"arguments":{}},"required":["name","arguments"],"additionalProperties":False}},"required":["id","type","function"],"additionalProperties":False}}
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bettergrammarjson["items"]["properties"]["function"]["properties"]["arguments"] = toolparamjson
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decoded = convert_json_to_gbnf(bettergrammarjson)
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if decoded:
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genparams["grammar"] = decoded
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except Exception:
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pass
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tool_json_formatting_instruction = f"\nPlease use the provided schema to fill the parameters to create a function call for {toolname}, in the following format: " + json.dumps([{"id": "call_001", "type": "function", "function": {"name": f"{toolname}", "arguments": {"first property key": "first property value", "second property key": "second property value"}}}], indent=0)
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messages_string += f"\n\nJSON Schema:\n{used_tool_json}\n\n{tool_json_formatting_instruction}{user_end}"
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if used_tool_json:
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toolparamjson = None
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toolname = None
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# Set temperature lower automatically if function calling, cannot exceed 0.5
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genparams["temperature"] = (1.0 if genparams.get("temperature", 0.5) > 1.0 else genparams.get("temperature", 0.5))
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genparams["using_openai_tools"] = True
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# Set grammar to llamacpp example grammar to force json response (see https://github.com/ggerganov/llama.cpp/blob/master/grammars/json_arr.gbnf)
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genparams["grammar"] = jsongrammar
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try:
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toolname = used_tool_json.get('function').get('name')
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toolparamjson = used_tool_json.get('function').get('parameters')
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bettergrammarjson = {"type":"array","items":{"type":"object","properties":{"id":{"type":"string","enum":["call_001"]},"type":{"type":"string","enum":["function"]},"function":{"type":"object","properties":{"name":{"type":"string"},"arguments":{}},"required":["name","arguments"],"additionalProperties":False}},"required":["id","type","function"],"additionalProperties":False}}
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bettergrammarjson["items"]["properties"]["function"]["properties"]["arguments"] = toolparamjson
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decoded = convert_json_to_gbnf(bettergrammarjson)
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if decoded:
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genparams["grammar"] = decoded
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except Exception:
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pass
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tool_json_formatting_instruction = f"\nPlease use the provided schema to fill the parameters to create a function call for {toolname}, in the following format: " + json.dumps([{"id": "call_001", "type": "function", "function": {"name": f"{toolname}", "arguments": {"first property key": "first property value", "second property key": "second property value"}}}], indent=0)
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messages_string += f"\n\nJSON Schema:\n{used_tool_json}\n\n{tool_json_formatting_instruction}{assistant_message_start}"
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if message['role'] == "system":
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